code: def action_space_sample(
      self, agent_ids: List[str] = None
  ) -> MultiAgentDict:
      # Actually not used at this stage.
      return {
          agent_id: self.action_space[agent_id].sample()
          for agent_id in agent_ids
      }
  
imports: import gymnasium
  import numpy
  import unittest
  from typing import List, Optional, Tuple
  import ray
  from ray.rllib.env.multi_agent_env import MultiAgentEnv
  from ray.rllib.env.multi_agent_episode import MultiAgentEpisode
  from ray.rllib.utils.typing import MultiAgentDict
label_desc: Use image node_id 4 for calling the MultiAgentTestEnv obj's underlying member method code with example usage: obj.action_space_sample(agent_ids) and returns: unknown